{"id":"W6924730784","doi":"10.15468/dl.ygyny6","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009508518,0.001976524,0.001611823,0.004759855,0.001108219,0.002645045,0.00285976,0.002207953,0.1611154],"category_scores_gemma":[0.005670935,0.0009081811,0.00131477,0.009124008,0.0004639129,0.002543312,0.002677653,0.002074049,0.237333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618449,"about_ca_system_score_gemma":0.002326515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0226352,"about_ca_topic_score_gemma":0.03823233,"domain_scores_codex":[0.9989303,0.0001467361,0.0001255199,0.0003819315,0.0002356906,0.0001798271],"domain_scores_gemma":[0.9975332,0.0006854486,0.000208255,0.0006752199,0.00062142,0.0002764155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000281811,0.00001238114,0.0003582347,0.000497333,0.00001277986,0.00001521868,0.00002326548,0.0001089502,0.0001185946,0.0003580555,0.9970832,0.001383767],"study_design_scores_gemma":[0.00006544318,0.000009046817,0.001926901,0.0001848842,0.00001350425,0.0000384575,0.0000815387,0.0001491488,0.0001934116,0.0007471427,0.9965724,0.00001807426],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004942376,0.00002934512,0.00004695996,0.00004292488,0.00001431052,0.000006031483,0.9986505,0.0004337621,0.0007268489],"genre_scores_gemma":[0.0001600907,0.00003326993,0.0002011708,0.0000478732,0.000003865211,0.00004117242,0.9988679,0.0001447142,0.0004999624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8388847,"threshold_uncertainty_score":0.5389846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}